StereoVAE: A lightweight stereo-matching system using embedded GPUs
Qiong Chang,Xiang Li,Xin Xu,Xin Liu,Yun Li,Jun Miyazaki,Qiong Chang,Xiang Li,Xin Xu,Xin Liu,Yun Li,Jun Miyazaki
We propose a lightweight system for stereo-matching using embedded graphic processing units (GPUs). The proposed system overcomes the trade-off between accuracy and processing speed in stereo matching, thus further improving the matching accuracy while ensuring real-time processing. The basic idea is to construct a tiny neural network based on a variational autoencoder (VAE) to achieve the upscali...
